37,514 results on '"Perlman, A"'
Search Results
52. A Four-Arm Randomized Clinical Trial of Topical Pain Control for Sentinel Node Radiotracer Injections in Patients with Breast Cancer
- Author
-
Wiener, Alyssa A., Schumacher, Jessica R., Perlman, Scott B., Wilke, Lee G., Lautner, Meeghan A., Bozzuto, Laura M., Hanlon, Bret M., and Neuman, Heather B.
- Published
- 2024
- Full Text
- View/download PDF
53. Wired TV: Laboring Over an Interactive Future by Denise Mann (review)
- Author
-
Perlman, Allison
- Published
- 2015
- Full Text
- View/download PDF
54. Equivariant D-modules on 2x2xn hypermatrices
- Author
-
Lőrincz, András C. and Perlman, Michael
- Subjects
Mathematics - Algebraic Geometry ,Mathematics - Commutative Algebra ,Mathematics - Representation Theory ,14F10, 14B15, 13D45, 13A50, 11S90 - Abstract
We study D-modules and related invariants on the space of 2 x 2 x n hypermatrices for n >= 3, which has finitely many orbits under the action of G = GL_2 x GL_2 x GL_n. We describe the category of coherent G-equivariant D-modules as the category of representations of a quiver with relations. We classify the simple equivariant D-modules, determine their characteristic cycles and find special representations that appear in their G-structures. We determine the explicit D-module structure of the local cohomology groups with supports given by orbit closures. As a consequence, we calculate the Lyubeznik numbers and intersection cohomology groups of the orbit closures. All but one of the orbit closures have rational singularities: we use local cohomology to prove that the one exception is neither normal nor Cohen--Macaulay. While our results display special behavior in the cases n=3 and n=4, they are completely uniform for n >= 5., Comment: 45 pages
- Published
- 2023
55. Quantitative Oculomotor Assessment in Hereditary Ataxia: Discriminatory Power, Correlation with Severity Measures, and Recommended Parameters for Specific Genotypes.
- Author
-
Garces, Pilar, Antoniades, Chrystalina, Sobanska, Anna, Kovacs, Norbert, Ying, Sarah, Gupta, Anoopum, Szmulewicz, David, Pane, Chiara, Németh, Andrea, Jardim, Laura, Coarelli, Giulia, Dankova, Michaela, Traschütz, Andreas, Tarnutzer, Alexander, and Perlman, Susan
- Subjects
Eye movement recordings ,Hereditary ataxia ,Oculomotor ,Recommendations ,Systematic review ,Vestibular ,Humans ,Eye Movements ,Ataxia Telangiectasia ,Spinocerebellar Degenerations ,Ataxia ,Friedreich Ataxia ,Genotype ,Disease Progression - Abstract
Characterizing bedside oculomotor deficits is a critical factor in defining the clinical presentation of hereditary ataxias. Quantitative assessments are increasingly available and have significant advantages, including comparability over time, reduced examiner dependency, and sensitivity to subtle changes. To delineate the potential of quantitative oculomotor assessments as digital-motor outcome measures for clinical trials in ataxia, we searched MEDLINE for articles reporting on quantitative eye movement recordings in genetically confirmed or suspected hereditary ataxias, asking which paradigms are most promising for capturing disease progression and treatment response. Eighty-nine manuscripts identified reported on 1541 patients, including spinocerebellar ataxias (SCA2, n = 421), SCA3 (n = 268), SCA6 (n = 117), other SCAs (n = 97), Friedreich ataxia (FRDA, n = 178), Niemann-Pick disease type C (NPC, n = 57), and ataxia-telangiectasia (n = 85) as largest cohorts. Whereas most studies reported discriminatory power of oculomotor assessments in diagnostics, few explored their value for monitoring genotype-specific disease progression (n = 2; SCA2) or treatment response (n = 8; SCA2, FRDA, NPC, ataxia-telangiectasia, episodic-ataxia 4). Oculomotor parameters correlated with disease severity measures including clinical scores (n = 18 studies (SARA: n = 9)), chronological measures (e.g., age, disease duration, time-to-symptom onset; n = 17), genetic stratification (n = 9), and imaging measures of atrophy (n = 5). Recurrent correlations across many ataxias (SCA2/3/17, FRDA, NPC) suggest saccadic eye movements as potentially generic quantitative oculomotor outcome. Recommendation of other paradigms was limited by the scarcity of cross-validating correlations, except saccadic intrusions (FRDA), pursuit eye movements (SCA17), and quantitative head-impulse testing (SCA3/6). This work aids in understanding the current knowledge of quantitative oculomotor parameters in hereditary ataxias, and identifies gaps for validation as potential trial outcome measures in specific ataxia genotypes.
- Published
- 2024
56. The politics of rejection: Explaining Chinese import refusals
- Author
-
Kim, Sung Eun, Perlman, Rebecca L, and Zeng, Grace
- Subjects
Political Science ,Human Society ,Applied Economics ,Political Science & Public Administration ,Applied economics ,Policy and administration ,Political science - Abstract
Abstract: Health and safety standards offer a convenient means by which governments can claim to be protecting the population, even while pursuing more parochial goals. In the realm of international trade, such standards have most often been studied as a means of veiled protectionism. Yet precisely because health and safety standards create ambiguity about their intent, nations may seek to use them for goals that extend well beyond protecting domestic industry. We theorize that governments will, at times, enforce regulations in ways intended to exact political retribution. To show this, we collect original data on import refusals by Chinese border inspectors between 2011 and 2019. Though ostensibly intended to keep dangerous products out of the hands of Chinese consumers, we demonstrate that import refusals have systematically been used by the Chinese government as a way to punish states that act against China's interest.
- Published
- 2024
57. Long non-coding RNA TUG1 is downregulated in Friedreichs ataxia.
- Author
-
Koka, Mert, Li, Hui, Akther, Rumana, Perlman, Susan, Wong, Darice, Fogel, Brent, Lynch, David, and Chandran, Vijayendran
- Subjects
Friedreichs ataxia ,TUG1 ,biomarker ,frataxin knockdown ,gene expression - Abstract
Friedreichs ataxia is a neurodegenerative disorder caused by reduced frataxin levels. It leads to motor and sensory impairments and has a median life expectancy of around 35 years. As the most common inherited form of ataxia, Friedreichs ataxia lacks reliable, non-invasive biomarkers, prolonging and inflating the cost of clinical trials. This study proposes TUG1, a long non-coding RNA, as a promising blood-based biomarker for Friedreichs ataxia, which is known to regulate various cellular processes. In a previous study using a frataxin knockdown mouse model, we observed several hallmark Friedreichs ataxia symptoms. Building on this, we hypothesized that a dual-source approach-comparing the data from peripheral blood samples from Friedreichs ataxia patients with tissue samples from affected areas in Friedreichs ataxia knockdown mice, tissues usually unattainable from patients-would effectively identify robust biomarkers. A comprehensive reanalysis was conducted on gene expression data from 183 age- and sex-matched peripheral blood samples of Friedreichs ataxia patients, carriers and controls and 192 tissue data sets from Friedreichs ataxia knockdown mice. Blood and tissue samples underwent RNA isolation and quantitative reverse transcription polymerase chain reaction, and frataxin knockdown was confirmed through enzyme-linked immunosorbent assays. Tug1 RNA interaction was explored via RNA pull-down assays. Validation was performed in serum samples on an independent set of 45 controls and 45 Friedreichs ataxia patients and in blood samples from 66 heterozygous carriers and 72 Friedreichs ataxia patients. Tug1 and Slc40a1 emerged as potential blood-based biomarkers, confirmed in the Friedreichs ataxia knockdown mouse model (one-way ANOVA, P ≤ 0.05). Tug1 was consistently downregulated after Fxn knockdown and correlated strongly with Fxn levels (R 2 = 0.71 during depletion, R 2 = 0.74 during rescue). Slc40a1 showed a similar but tissue-specific pattern. Further validation of Tug1s downstream targets strengthened its biomarker candidacy. In additional human samples, TUG1 levels were significantly downregulated in both whole blood and serum of Friedreichs ataxia patients compared with controls (Wilcoxon signed-rank test, P < 0.05). Regression analyses revealed a negative correlation between TUG1 fold-change and disease onset (P < 0.0037) and positive correlations with disease duration and functional disability stage score (P < 0.04). This suggests that elevated TUG1 levels correlate with earlier onset and more severe cases. This study identifies TUG1 as a potential blood-based biomarker for Friedreichs ataxia, showing consistent expression variance in human and mouse tissues related to disease severity and key Friedreichs ataxia pathways. It correlates with frataxin levels, indicating its promise as an early, non-invasive marker. TUG1 holds potential for Friedreichs ataxia monitoring and therapeutic development, meriting additional research.
- Published
- 2024
58. CRPD frontiers in movement disorders Therapeutics: From evidence to treatment and applications: Addressing Patients Needs in the Management of the Ataxias.
- Author
-
Perlman, Susan
- Subjects
Ataxia ,Diagnosis ,Multidisciplinary ,Research ,Treatment - Abstract
The genetic ataxias have no cures and no proven ways to delay progression (no disease-modifying therapies). The acquired ataxias may have treatments that address the underlying cause and may slow or stop progression, but will not reverse damage already sustained. The idiopathic ataxias (of unknown genetic or acquired cause) also have no proven disease-modifying therapies. However, for all patients with ataxia of any cause, there is always something that can be done to improve quality of life-treat associated symptoms, provide information and resources, counsel patient and family, help with insurance and disability concerns, be available to listen and answer the many questions they will have.
- Published
- 2024
59. Propensity matched comparison of omaveloxolone treatment to Friedreich ataxia natural history data.
- Author
-
Lynch, David, Goldsberry, Angie, Rummey, Christian, Farmer, Jennifer, Boesch, Sylvia, Delatycki, Martin, Giunti, Paola, Hoyle, J, Mariotti, Caterina, Mathews, Katherine, Nachbauer, Wolfgang, Perlman, Susan, Subramony, S, Wilmot, George, Zesiewicz, Theresa, Weissfeld, Lisa, and Meyer, Colin
- Subjects
Humans ,Friedreich Ataxia ,Longitudinal Studies ,Outcome Assessment ,Health Care ,Triterpenes ,Male ,Female ,Clinical Trials as Topic - Abstract
OBJECTIVE: The natural history of Friedreich ataxia is being investigated in a multi-center longitudinal study designated the Friedreich ataxia Clinical Outcome Measures Study (FACOMS). To understand the utility of this study in analysis of clinical trials, we performed a propensity-matched comparison of data from the open-label MOXIe extension (omaveloxolone) to that from FACOMS. METHODS: MOXIe extension patients were matched to FACOMS patients using logistic regression to estimate propensity scores based on multiple covariates: sex, baseline age, age of onset, baseline modified Friedreich Ataxia Rating scale (mFARS) score, and baseline gait score. The change from baseline in mFARS at Year 3 for the MOXIe extension patients compared to the matched FACOMS patients was analyzed as the primary efficacy endpoint using mixed model repeated measures analysis. RESULTS: Data from the MOXIe extension show that omaveloxolone provided persistent benefit over 3 years when compared to an untreated, matched cohort from FACOMS. At each year, in all analysis populations, patients in the MOXIe extension experienced a smaller change from baseline in mFARS score than matched FACOMS patients. In the primary pooled population (136 patients in each group) by Year 3, patients in the FACOMS matched set progressed 6.6 points whereas patients treated with omaveloxolone in MOXIe extension progressed 3 points (difference = -3.6; nominal p value = 0.0001). INTERPRETATION: These results suggest a meaningful slowing of Friedreich ataxia progression with omaveloxolone, and consequently detail how propensity-matched analysis may contribute to understanding of effects of therapeutic agents. This demonstrates the direct value of natural history studies in clinical trial evaluations.
- Published
- 2024
60. Placental pathology abnormalities in pemphigoid gestationis
- Author
-
Thompson, Beatrix B., Reardon, Rachel M., Perlman, Katherine L., Lee, Sarah S., Goldfarb, Ilona T., Roberts, Drucilla J., and Chen, Steven T.
- Published
- 2024
- Full Text
- View/download PDF
61. Enhancer-promoter hubs organize transcriptional networks promoting oncogenesis and drug resistance
- Author
-
Brent S. Perlman, Noah Burget, Yeqiao Zhou, Gregory W. Schwartz, Jelena Petrovic, Zora Modrusan, and Robert B. Faryabi
- Subjects
Science - Abstract
Abstract Recent advances in high-resolution mapping of spatial interactions among regulatory elements support the existence of complex topological assemblies of enhancers and promoters known as enhancer-promoter hubs or cliques. Yet, organization principles of these multi-interacting enhancer-promoter hubs and their potential role in regulating gene expression in cancer remain unclear. Here, we systematically identify enhancer-promoter hubs in breast cancer, lymphoma, and leukemia. We find that highly interacting enhancer-promoter hubs form at key oncogenes and lineage-associated transcription factors potentially promoting oncogenesis of these diverse cancer types. Genomic and optical mapping of interactions among enhancer and promoter elements further show that topological alterations in hubs coincide with transcriptional changes underlying acquired resistance to targeted therapy in T cell leukemia and B cell lymphoma. Together, our findings suggest that enhancer-promoter hubs are dynamic and heterogeneous topological assemblies with the potential to control gene expression circuits promoting oncogenesis and drug resistance.
- Published
- 2024
- Full Text
- View/download PDF
62. Self-supervised learning of wrist-worn daily living accelerometer data improves the automated detection of gait in older adults
- Author
-
Yonatan E. Brand, Felix Kluge, Luca Palmerini, Anisoara Paraschiv-Ionescu, Clemens Becker, Andrea Cereatti, Walter Maetzler, Basil Sharrack, Beatrix Vereijken, Alison J. Yarnall, Lynn Rochester, Silvia Del Din, Arne Muller, Aron S. Buchman, Jeffrey M. Hausdorff, and Or Perlman
- Subjects
Gait ,Machine learning ,Older adults ,Self-supervised learning ,Accelerometer ,Medicine ,Science - Abstract
Abstract Progressive gait impairment is common among aging adults. Remote phenotyping of gait during daily living has the potential to quantify gait alterations and evaluate the effects of interventions that may prevent disability in the aging population. Here, we developed ElderNet, a self-supervised learning model for gait detection from wrist-worn accelerometer data. Validation involved two diverse cohorts, including over 1000 participants without gait labels, as well as 83 participants with labeled data: older adults with Parkinson's disease, proximal femoral fracture, chronic obstructive pulmonary disease, congestive heart failure, and healthy adults. ElderNet presented high accuracy (96.43 ± 2.27), specificity (98.87 ± 2.15), recall (82.32 ± 11.37), precision (86.69 ± 17.61), and F1 score (82.92 ± 13.39). The suggested method yielded superior performance compared to two state-of-the-art gait detection algorithms, with improved accuracy and F1 score (p
- Published
- 2024
- Full Text
- View/download PDF
63. A New Model for Teaching and Learning: The Informed Learner in Physical Education Model
- Author
-
Dana J. Perlman
- Abstract
There has been a continuous focus on developing quality physical education (PE) experiences that empower students to understand movement and engage in physical activity. This article describes a pedagogical approach that was developed to assist the PE student in understanding more about their own and others' physical activity capacities. This new instructional approach, which is grounded in scientific methods, is called the Informed Learner in Physical Education (ILPE). The ILPE was developed to provide teachers with a pedagogical approach to facilitate meaningful learning and empower students within PE with the overarching goal of students becoming "informed learners of and about movement and physical activity." Within the ILPE there are four features: (1) Activity Context and Educational Focus, (2) Inquiry Question, (3) Investigation, and (4) Evaluation and Articulation of Findings. These features and teacher considerations are discussed to assist PE teachers in the design and implementation of an ILPE experience.
- Published
- 2024
- Full Text
- View/download PDF
64. Influence of Maternal Cognitions on Child Mental Health and Educational Experiences at Home during COVID-19
- Author
-
Calpanaa Jegatheeswaran, Samantha Burns, Jennifer Jenkins, and Michal Perlman
- Abstract
Suboptimal parenting characterized by low self-efficacy and perceived impact is associated with poor child mental health and academic outcomes, especially for at-risk families. This study capitalized on a longitudinal study conducted prior to and after the onset of the COVID-19 pandemic to test how prior parenting cognitions and environmental risk factors predict mental health and educational challenges faced by children during the pandemic. Pre-pandemic parenting and environmental risk data are available for a sample of 252 low-income mother-child dyads in Toronto, Canada. Research Findings: Mothers who had lower parental self-efficacy, but higher perceived parental impact prior to COVID-19 reported that their children faced educational challenges during the pandemic. In addition, mothers who reported lower levels of pre-pandemic parental self-efficacy reported that their children were more likely to have emotional and conduct problems greater than the sample average during COVID-19. Practice or Policy: Parents with specific profiles of parenting cognitions may need additional support to help their children cope during the pandemic.
- Published
- 2024
- Full Text
- View/download PDF
65. Can a Brief Professional Development Improve Early Childhood Educators' Responsivity and Interaction Quality in Child Care Centers? A Cluster Randomized Controlled Trial
- Author
-
Ashley Brunsek, Michelle Rodrigues, Nina Sokolovic, Sahar Borairi, Zeenat Janmoham, Jennifer M. Jenkins, and Michal Perlman
- Abstract
High-quality early childhood education and care (ECEC) - particularly care defined by highly responsive interactions between educators and children - has the potential to have lasting positive impacts on children's development. While there is variability in the level of quality among early education and care settings, professional development for early childhood educators has been shown to be an effective means to improve both ECEC quality and child outcomes. As many professional development programs are time and resource intensive, we sought out to test the efficacy of a brief (5 hr) professional development program that included a workshop, individual coaching, video feedback and text messaging. "Research Findings:" Results of a cluster randomized controlled trial with 93 educators indicated that the program improved educators' responsivity three-months after intervention (d = 0.60, p = 0.035), but not classroom-wide levels of emotional support or instructional quality. Trend analysis revealed the greatest improvements occurred after the workshop and first coaching session and leveled off over time. "Practice or Policy:" Preliminary evidence suggests brief professional development programs may improve interaction quality with effect sizes comparable to those of longer programs. Well-powered studies using multiple arms or sequential randomization will help optimize the efficiency and effectiveness of professional development.
- Published
- 2024
- Full Text
- View/download PDF
66. True South: Henry Hampton and Eyes on the Prize, the Landmark Television Series That Reframed the Civil Rights Movement by Jon Else (review)
- Author
-
Perlman, Allison
- Published
- 2018
- Full Text
- View/download PDF
67. Molecular MRI-Based Monitoring of Cancer Immunotherapy Treatment Response
- Author
-
Vladimirov, Nikita and Perlman, Or
- Subjects
Physics - Medical Physics - Abstract
Immunotherapy constitutes a paradigm shift in cancer treatment. Its FDA approval for several indications has yielded improved prognosis for cases where traditional therapy has shown limited efficiencey. However, many patients still fail to benefit from this treatment modality, and the exact mechanisms responsible for tumor response are unknown. Noninvasive treatment monitoring is crucial for longitudinal tumor characterization and the early detection of non-responders. While various medical imaging techniques can provide a morphological picture of the lesion and its surrounding tissue, a molecular-oriented imaging approach holds the key to unraveling biological effects that occur much earlier in the immunotherapy timeline. Magnetic resonance imaging (MRI) is a highly versatile imaging modality, where the image contrast can be tailored to emphasize a particular biophysical property of interest using advanced engineering of the imaging pipeline. In this review, recent advances in molecular-MRI based cancer immunotherapy monitoring are described. Next, the presentation of the underlying physics, computational, and biological features are complemented by a critical analysis of the results obtained in preclinical and clinical studies. Finally, emerging artificial intelligence (AI)-based strategies to further distill, quantify, and interpret the image-based molecular MRI information are discussed in terms of perspectives for the future., Comment: 25 pages, 7 figures
- Published
- 2023
- Full Text
- View/download PDF
68. Pathogenic T cells in post-viral lung disease in mice
- Author
-
Perlman, Stanley and Sariol, Alan
- Published
- 2024
- Full Text
- View/download PDF
69. Deconstruction of rheumatoid arthritis synovium defines inflammatory subtypes.
- Author
-
Zhang, Fan, Jonsson, Anna, Nathan, Aparna, Millard, Nghia, Curtis, Michelle, Xiao, Qian, Gutierrez-Arcelus, Maria, Apruzzese, William, Watts, Gerald, Weisenfeld, Dana, Nayar, Saba, Rangel-Moreno, Javier, Meednu, Nida, Marks, Kathryne, Mantel, Ian, Kang, Joyce, Rumker, Laurie, Mears, Joseph, Slowikowski, Kamil, Weinand, Kathryn, Orange, Dana, Geraldino-Pardilla, Laura, Deane, Kevin, Tabechian, Darren, Ceponis, Arnoldas, Firestein, Gary, Maybury, Mark, Sahbudin, Ilfita, Ben-Artzi, Ami, Mandelin, Arthur, Nerviani, Alessandra, Lewis, Myles, Rivellese, Felice, Pitzalis, Costantino, Hughes, Laura, Horowitz, Diane, DiCarlo, Edward, Gravallese, Ellen, Boyce, Brendan, Moreland, Larry, Goodman, Susan, Perlman, Harris, Holers, V, Liao, Katherine, Filer, Andrew, Bykerk, Vivian, Wei, Kevin, Rao, Deepak, Donlin, Laura, Anolik, Jennifer, Brenner, Michael, and Raychaudhuri, Soumya
- Subjects
Humans ,Arthritis ,Rheumatoid ,Cytokines ,Inflammation ,Synovial Membrane ,T-Lymphocytes ,B-Lymphocytes ,Genetic Predisposition to Disease ,Phenotype ,Single-Cell Gene Expression Analysis - Abstract
Rheumatoid arthritis is a prototypical autoimmune disease that causes joint inflammation and destruction1. There is currently no cure for rheumatoid arthritis, and the effectiveness of treatments varies across patients, suggesting an undefined pathogenic diversity1,2. Here, to deconstruct the cell states and pathways that characterize this pathogenic heterogeneity, we profiled the full spectrum of cells in inflamed synovium from patients with rheumatoid arthritis. We used multi-modal single-cell RNA-sequencing and surface protein data coupled with histology of synovial tissue from 79 donors to build single-cell atlas of rheumatoid arthritis synovial tissue that includes more than 314,000 cells. We stratified tissues into six groups, referred to as cell-type abundance phenotypes (CTAPs), each characterized by selectively enriched cell states. These CTAPs demonstrate the diversity of synovial inflammation in rheumatoid arthritis, ranging from samples enriched for T and B cells to those largely lacking lymphocytes. Disease-relevant cell states, cytokines, risk genes, histology and serology metrics are associated with particular CTAPs. CTAPs are dynamic and can predict treatment response, highlighting the clinical utility of classifying rheumatoid arthritis synovial phenotypes. This comprehensive atlas and molecular, tissue-based stratification of rheumatoid arthritis synovial tissue reveal new insights into rheumatoid arthritis pathology and heterogeneity that could inform novel targeted treatments.
- Published
- 2023
70. Accessing Pediatric Palliative Care
- Author
-
Delgado-Corcoran, Claudia, Bierer, Ryann, Cramer Finnerty, Lauren, Gradick, Katie, Harman, Brandy, Harousseau, Mark, Johnston, Brooke, Kronaizl, Sydney, Moore, Dominic, Moresco, Benjamin, Ostrander, Betsy, Patterson, Paige, Spraker-Perlman, Holly, Thompson, Amanda L., Vitela-Elliott, Antonia, Delgado-Corcoran, Claudia, Bierer, Ryann, Cramer Finnerty, Lauren, Gradick, Katie, Harman, Brandy, Harousseau, Mark, Johnston, Brooke, Kronaizl, Sydney, Moore, Dominic, Moresco, Benjamin, Ostrander, Betsy, Patterson, Paige, Spraker-Perlman, Holly, Thompson, Amanda L., and Vitela-Elliott, Antonia
- Published
- 2024
- Full Text
- View/download PDF
71. Pediatric Palliative Care at End of Life
- Author
-
Delgado-Corcoran, Claudia, Bierer, Ryann, Cramer Finnerty, Lauren, Gradick, Katie, Harman, Brandy, Harousseau, Mark, Johnston, Brooke, Kronaizl, Sydney, Moore, Dominic, Moresco, Benjamin, Ostrander, Betsy, Patterson, Paige, Spraker-Perlman, Holly, Thompson, Amanda L., Vitela-Elliott, Antonia, Delgado-Corcoran, Claudia, Bierer, Ryann, Cramer Finnerty, Lauren, Gradick, Katie, Harman, Brandy, Harousseau, Mark, Johnston, Brooke, Kronaizl, Sydney, Moore, Dominic, Moresco, Benjamin, Ostrander, Betsy, Patterson, Paige, Spraker-Perlman, Holly, Thompson, Amanda L., and Vitela-Elliott, Antonia
- Published
- 2024
- Full Text
- View/download PDF
72. The Future of Pediatric Palliative Care
- Author
-
Delgado-Corcoran, Claudia, Bierer, Ryann, Cramer Finnerty, Lauren, Gradick, Katie, Harman, Brandy, Harousseau, Mark, Johnston, Brooke, Kronaizl, Sydney, Moore, Dominic, Moresco, Benjamin, Ostrander, Betsy, Patterson, Paige, Spraker-Perlman, Holly, Thompson, Amanda L., Vitela-Elliott, Antonia, Delgado-Corcoran, Claudia, Bierer, Ryann, Cramer Finnerty, Lauren, Gradick, Katie, Harman, Brandy, Harousseau, Mark, Johnston, Brooke, Kronaizl, Sydney, Moore, Dominic, Moresco, Benjamin, Ostrander, Betsy, Patterson, Paige, Spraker-Perlman, Holly, Thompson, Amanda L., and Vitela-Elliott, Antonia
- Published
- 2024
- Full Text
- View/download PDF
73. Pediatric Palliative Care Involvement in Specific Populations
- Author
-
Delgado-Corcoran, Claudia, Bierer, Ryann, Cramer Finnerty, Lauren, Gradick, Katie, Harman, Brandy, Harousseau, Mark, Johnston, Brooke, Kronaizl, Sydney, Moore, Dominic, Moresco, Benjamin, Ostrander, Betsy, Patterson, Paige, Spraker-Perlman, Holly, Thompson, Amanda L., Vitela-Elliott, Antonia, Delgado-Corcoran, Claudia, Bierer, Ryann, Cramer Finnerty, Lauren, Gradick, Katie, Harman, Brandy, Harousseau, Mark, Johnston, Brooke, Kronaizl, Sydney, Moore, Dominic, Moresco, Benjamin, Ostrander, Betsy, Patterson, Paige, Spraker-Perlman, Holly, Thompson, Amanda L., and Vitela-Elliott, Antonia
- Published
- 2024
- Full Text
- View/download PDF
74. Introduction and Definitions
- Author
-
Delgado-Corcoran, Claudia, Bierer, Ryann, Cramer Finnerty, Lauren, Gradick, Katie, Harman, Brandy, Harousseau, Mark, Johnston, Brooke, Kronaizl, Sydney, Moore, Dominic, Moresco, Benjamin, Ostrander, Betsy, Patterson, Paige, Spraker-Perlman, Holly, Thompson, Amanda L., Vitela-Elliott, Antonia, Delgado-Corcoran, Claudia, Bierer, Ryann, Cramer Finnerty, Lauren, Gradick, Katie, Harman, Brandy, Harousseau, Mark, Johnston, Brooke, Kronaizl, Sydney, Moore, Dominic, Moresco, Benjamin, Ostrander, Betsy, Patterson, Paige, Spraker-Perlman, Holly, Thompson, Amanda L., and Vitela-Elliott, Antonia
- Published
- 2024
- Full Text
- View/download PDF
75. Enhancer-promoter hubs organize transcriptional networks promoting oncogenesis and drug resistance
- Author
-
Perlman, Brent S., Burget, Noah, Zhou, Yeqiao, Schwartz, Gregory W., Petrovic, Jelena, Modrusan, Zora, and Faryabi, Robert B.
- Published
- 2024
- Full Text
- View/download PDF
76. Self-supervised learning of wrist-worn daily living accelerometer data improves the automated detection of gait in older adults
- Author
-
Brand, Yonatan E., Kluge, Felix, Palmerini, Luca, Paraschiv-Ionescu, Anisoara, Becker, Clemens, Cereatti, Andrea, Maetzler, Walter, Sharrack, Basil, Vereijken, Beatrix, Yarnall, Alison J., Rochester, Lynn, Del Din, Silvia, Muller, Arne, Buchman, Aron S., Hausdorff, Jeffrey M., and Perlman, Or
- Published
- 2024
- Full Text
- View/download PDF
77. Universal subunit vaccine protects against multiple SARS-CoV-2 variants and SARS-CoV
- Author
-
Wang, Gang, Verma, Abhishek K., Shi, Juan, Guan, Xiaoqing, Meyerholz, David K., Bu, Fan, Wen, Wei, Liu, Bin, Li, Fang, Perlman, Stanley, and Du, Lanying
- Published
- 2024
- Full Text
- View/download PDF
78. An integrated clinical approach to children at genetic risk for neurodevelopmental and psychiatric conditions: interdisciplinary collaboration and research infrastructure
- Author
-
Summers, Jane, Baribeau, Danielle, Perlman, Polina, Hoang, Ny, Cui, Sunny, Krakowski, Aneta, Ambrozewicz, Patricia, Ho, Ariel, Selvanayagam, Thanuja, Sándor-Bajusz, Kinga A., Palad, Katrina, Patel, Nishi, McGaughey, Sarah, Gallagher, Louise, Scherer, Stephen W., Szatmari, Peter, and Vorstman, Jacob
- Published
- 2024
- Full Text
- View/download PDF
79. Development of a differential treatment selection model for depression on consolidated and transformed clinical trial datasets
- Author
-
Perlman, Kelly, Mehltretter, Joseph, Benrimoh, David, Armstrong, Caitrin, Fratila, Robert, Popescu, Christina, Tunteng, Jingla-Fri, Williams, Jerome, Rollins, Colleen, Golden, Grace, and Turecki, Gustavo
- Published
- 2024
- Full Text
- View/download PDF
80. Functional and antigenic characterization of SARS-CoV-2 spike fusion peptide by deep mutational scanning
- Author
-
Lei, Ruipeng, Qing, Enya, Odle, Abby, Yuan, Meng, Gunawardene, Chaminda D., Tan, Timothy J. C., So, Natalie, Ouyang, Wenhao O., Wilson, Ian A., Gallagher, Tom, Perlman, Stanley, Wu, Nicholas C., and Wong, Lok-Yin Roy
- Published
- 2024
- Full Text
- View/download PDF
81. Development and validation of the Trust in Multidimensional Healthcare Systems Scale (TIMHSS)
- Author
-
Meyer, Samantha B., Brown, Patrick, Calnan, Michael, Ward, Paul R., Little, Jerrica, Betini, Gustavo S., Perlman, Christopher M., Burns, Kathleen E., and Filice, Eric
- Published
- 2024
- Full Text
- View/download PDF
82. Rush Limbaugh and the Problem of the Color Line
- Author
-
Perlman, Allison
- Published
- 2012
- Full Text
- View/download PDF
83. On the Feasibility of Parsimonious Variable Selection for Hotelling’s T2-test
- Author
-
Perlman, Michael D.
- Published
- 2024
- Full Text
- View/download PDF
84. The active papillary muscle sign in 18F-FDG PET/CT cardiac sarcoidosis exams and its relationship with myocardial suppression
- Author
-
Özütemiz, Can, Koksel, Yasemin, Froelich, Jerry W., Rubin, Nathan, Bhargava, Maneesh, Roukoz, Henri, Cogswell, Rebecca, Markowitz, Jeremy, Perlman, David M., and Steinberger, Daniel
- Published
- 2024
- Full Text
- View/download PDF
85. Antibody-independent protection against heterologous SARS-CoV-2 challenge conferred by prior infection or vaccination
- Author
-
Fumagalli, Valeria, Ravà, Micol, Marotta, Davide, Di Lucia, Pietro, Bono, Elisa B., Giustini, Leonardo, De Leo, Federica, Casalgrandi, Maura, Monteleone, Emanuele, Mouro, Violette, Malpighi, Chiara, Perucchini, Chiara, Grillo, Marta, De Palma, Sara, Donnici, Lorena, Marchese, Silvia, Conti, Matteo, Muramatsu, Hiromi, Perlman, Stanley, Pardi, Norbert, Kuka, Mirela, De Francesco, Raffaele, Bianchi, Marco E., Guidotti, Luca G., and Iannacone, Matteo
- Published
- 2024
- Full Text
- View/download PDF
86. Digital Media and Developing Brains: Concerns and Opportunities
- Author
-
Hutton, John S., Piotrowski, Jessica Taylor, Bagot, Kara, Blumberg, Fran, Canli, Turhan, Chein, Jason, Christakis, Dimitri A., Grafman, Jordan, Griffin, James A., Hummer, Tom, Kuss, Daria J., Lerner, Matthew, Marcovitch, Stuart, Paulus, Martin P., Perlman, Greg, Romeo, Rachel, Thomason, Moriah E., Turel, Ofir, Weinstein, Aviv, West, Gregory, Pietra, Pamela Hurst-Della, and Potenza, Marc N.
- Published
- 2024
- Full Text
- View/download PDF
87. Frataxin analysis using triple quadrupole mass spectrometry: application to a large heterogeneous clinical cohort
- Author
-
Lynch, David R., Rojsajjakul, Teerapat, Subramony, S. H., Perlman, Susan L., Keita, Medina, Mesaros, Clementina, and Blair, Ian A.
- Published
- 2024
- Full Text
- View/download PDF
88. Hallmark discoveries in the biology of Wilms tumour
- Author
-
Perotti, Daniela, Williams, Richard D., Wegert, Jenny, Brzezinski, Jack, Maschietto, Mariana, Ciceri, Sara, Gisselsson, David, Gadd, Samantha, Walz, Amy L., Furtwaengler, Rhoikos, Drost, Jarno, Al-Saadi, Reem, Evageliou, Nicholas, Gooskens, Saskia L., Hong, Andrew L., Murphy, Andrew J., Ortiz, Michael V., O’Sullivan, Maureen J., Mullen, Elizabeth A., van den Heuvel-Eibrink, Marry M., Fernandez, Conrad V., Graf, Norbert, Grundy, Paul E., Geller, James I., Dome, Jeffrey S., Perlman, Elizabeth J., Gessler, Manfred, Huff, Vicki, and Pritchard-Jones, Kathy
- Published
- 2024
- Full Text
- View/download PDF
89. Characterization of Cardiac-Onset Initial Presentation in Friedreich Ataxia
- Author
-
Lynch, David R., Subramony, Sub, Lin, Kimberly Y., Mathews, Katherine, Perlman, Susan, Yoon, Grace, and Rummey, Christian
- Published
- 2024
- Full Text
- View/download PDF
90. Iconicity ratings for 14,000+ English words
- Author
-
Winter, Bodo, Lupyan, Gary, Perry, Lynn K., Dingemanse, Mark, and Perlman, Marcus
- Published
- 2024
- Full Text
- View/download PDF
91. Dynamic history-dependent tax and environmental compliance monitoring of risk-averse firms
- Author
-
Goldberg, Noam, Meilijson, Isaac, and Perlman, Yael
- Published
- 2024
- Full Text
- View/download PDF
92. Dynamic and Rapid Deep Synthesis of Molecular MRI Signals
- Author
-
Nagar, Dinor, Vladimirov, Nikita, Farrar, Christian T., and Perlman, Or
- Subjects
Physics - Medical Physics ,Electrical Engineering and Systems Science - Image and Video Processing - Abstract
Model-driven analysis of biophysical phenomena is gaining increased attention and utility for medical imaging applications. In magnetic resonance imaging (MRI), the availability of well-established models for describing the relations between the nuclear magnetization, tissue properties, and the externally applied magnetic fields has enabled the prediction of image contrast and served as a powerful tool for designing the imaging protocols that are now routinely used in the clinic. Recently, various advanced imaging techniques have relied on these models for image reconstruction, quantitative tissue parameter extraction, and automatic optimization of acquisition protocols. In molecular MRI, however, the increased complexity of the imaging scenario, where the signals from various chemical compounds and multiple proton pools must be accounted for, results in exceedingly long model simulation times, severely hindering the progress of this approach and its dissemination for various clinical applications. Here, we show that a deep-learning-based system can capture the nonlinear relations embedded in the molecular MRI Bloch-McConnell model, enabling a rapid and accurate generation of biologically realistic synthetic data. The applicability of this simulated data for in-silico, in-vitro, and in-vivo imaging applications is then demonstrated for chemical exchange saturation transfer (CEST) and semisolid macromolecule magnetization transfer (MT) analysis and quantification. The proposed approach yielded 78%-99% acceleration in data synthesis time while retaining excellent agreement with the ground truth (Pearson's r$>$0.99, p$<$0.0001, normalized root mean square error $<$3%).
- Published
- 2023
- Full Text
- View/download PDF
93. Variability of extragalactic X-ray jets on kiloparsec scales
- Author
-
Meyer, Eileen T., Shaik, Aamil, Tang, Yanbo, Reid, Nancy, Reddy, Karthik, Breiding, Peter, Georganopoulos, Markos, Chiaberge, Marco, Perlman, Eric, Clautice, Devon, Sparks, William, DeNigris, Nat, and Trevor, Max
- Subjects
Astrophysics - High Energy Astrophysical Phenomena ,Astrophysics - Instrumentation and Methods for Astrophysics - Abstract
Unexpectedly strong X-ray emission from extragalactic radio jets on kiloparsec scales has been one of the major discoveries of Chandra, the only X-ray observatory capable of sub-arcsecond-scale imaging. The origin of this X-ray emission, which appears as a second spectral component from that of the radio emission, has been debated for over two decades. The most commonly assumed mechanism is inverse Compton upscattering of the Cosmic Microwave Background (IC-CMB) by very low-energy electrons in a still highly relativistic jet. Under this mechanism, no variability in the X-ray emission is expected. Here we report the detection of X-ray variability in the large-scale jet population, using a novel statistical analysis of 53 jets with multiple Chandra observations. Taken as a population, we find that the distribution of p-values from a Poisson model is strongly inconsistent with steady emission, with a global p-value of 1.96e-4 under a Kolmogorov-Smirnov test against the expected Uniform (0,1) distribution. These results strongly imply that the dominant mechanism of X-ray production in kpc-scale jets is synchrotron emission by a second population of electrons reaching multi-TeV energies. X-ray variability on the time-scale of months to a few years implies extremely small emitting volumes much smaller than the cross-section of the jet., Comment: Published in Nature Astronomy 29 May 2023; Supplemental Information and Excel File included in 1st submission; Published article in most recent
- Published
- 2023
- Full Text
- View/download PDF
94. Powerful Radio-Loud Quasars are Triggered by Galaxy Mergers in the Cosmic Bright Ages
- Author
-
Breiding, Peter, Chiaberge, Marco, Lambrides, Erini, Meyer, Eileen T., Willner, S. P., Hilbert, Bryan, Haas, Martin, Miley, George, Perlman, Eric S., Barthel, Peter, O'Dea, Christopher P., Capetti, Alessandro, Wilkes, Belinda, Baum, Stefi A., Macchetto, Duccio F., Tremblay, Grant, and Norman, Colin
- Subjects
Astrophysics - Astrophysics of Galaxies - Abstract
While supermassive black holes are ubiquitous features of galactic nuclei, only a small minority are observed during episodes of luminous accretion. The physical mechanism(s) driving the onset of fueling and ignition in these active galactic nuclei (AGN) are still largely unknown for many galaxies and AGN-selection criteria. Attention has focused on AGN triggering by means of major galaxy mergers gravitationally funneling gas towards the galactic center, with evidence both for and against this scenario. However, several recent studies have found that radio-loud AGN overwhelmingly reside in ongoing or recent major galaxy mergers. In this study, we test the hypothesis that major galaxy mergers are important triggers for radio-loud AGN activity in powerful quasars during cosmic noon (1 < z < 2). To this end, we compare Hubble Space Telescope WFC3/IR observations of the z > 1 3CR radio-loud broad-lined quasars to three matched radio-quiet quasar control samples. We find strong evidence for major-merger activity in nearly all radio-loud AGN, in contrast to the much lower merger fraction in the radio-quiet AGN. These results suggest major galaxy mergers are key ingredients to launching powerful radio jets. Given many of our radio-loud quasars are blue, our results present a possible challenge to the "blow-out" paradigm of galaxy evolution models in which blue quasars are the quiescent end result following a period of red quasar feedback initiated by a galaxy merger. Finally, we find a tight correlation between black hole mass and host galaxy luminosity for these different high-redshift AGN samples inconsistent with those observed for local elliptical galaxies., Comment: Published by ApJ
- Published
- 2023
- Full Text
- View/download PDF
95. A QPO in Mkn 421 from Archival RXTE Data
- Author
-
Smith, Evan, Oramas, Lani, and Perlman, Eric
- Subjects
Astrophysics - High Energy Astrophysical Phenomena ,Astrophysics - Astrophysics of Galaxies - Abstract
We report a 325(-7, +8) day quasi-periodic oscillation (QPO) in the X-ray emission of the blazar Mkn 421, based on data obtained with the Rossi X-ray Timing Explorer (RXTE). The QPO is seen prominently in the ASM data (at least 15 cycles), due to the fact that it has had near-continuous sampling for more than a decade. The PCA data, where the sampling is not uniform and shows many large gaps, provide supporting evidence at lower significance. This QPO is present in both the Proportional Counter Array (PCA) and All-Sky Monitor (ASM) light curves, however it is far more secure (32 sigma significance) in the ASM data since much of the PCA data are from target-of-opportunity flare observations and thus have substantial gaps. QPOs are an important observable in accretion disks, can be modulated by various orbital timescales, and may be generated by a number of mechanisms. They have been studied extensively in X-ray binaries, and should be present in active galactic nuclei (AGN) if they are governed by a common set of physical principles. In jetted sources, QPOs can probe jet-disk interactions or helical oscillations. This QPO previously has been claimed intermittently in X-ray, radio and gamma-ray data, but the continuous, 15-year extent (1996-2011) of the ASM observations (in which Mkn 421 is the brightest AGN observed) provides a unique window. The QPO appears present for nearly the entire extent of the ASM observations. We explore various physical origins and modulating mechanisms, particularly interpretations of the QPO as a result of disk-jet interactions, either due to an accretion disk limit cycle, jet instabilities or helical motions. Limit-cycle related oscillations would not interact with either Keplerian or Lense-Thirring modulated oscillations, however those associated with jet instabilities or helical motions in the jet would likely be modulated by Lense-Thirring precession., Comment: 10 pages, 8 figures, ApJ, in press
- Published
- 2023
- Full Text
- View/download PDF
96. The Explanation of Entanglement in Quantum Mechanics
- Author
-
Perlman, H S
- Subjects
Quantum Physics - Abstract
It is shown that quantum mechanics is, like thermodynamics, a phenomenological theory i.e., not a causal theory, ( not because it is a statistical theory - statistical theories with caused probability distributions can be regarded as causal) but because pure states, i.e., probability distributions of measurement values, cannot inhere in elementary particles and therefore cannot change when their world tubes intersect and hence they cannot be regarded as interacting causally. By a causal theory is meant a theory that specifies the changes in time of the states of causally interacting entities in its domain. The areas in quantum mechanics in which causal interactions are relevant include, though not explicitly, measurement and therefore the Born rule, and, explicitly, the unitary Schrodinger time development of states. The Born rule probabilities are shown to to refer not to conjoint superpositions of eigenstates but to classical mixtures of mutually exclusive eigenvalues and the Schrodinger time development of states is shown to refer to the time development of the states of non-causally interacting elementary particles and hence cannot be regarded as as a causal time development equation, appearances to the contrary notwithstanding. The recognition that quantum mechanics is not a causal theory but a phenomenological theory like thermodynamics does not affect the way it is employed to calculate an predict and hence preserves its empirical success but it does allow a typically simple phenomenological theory explanation of entanglement and other apparently non-local phenomena.
- Published
- 2023
97. Towards Outcome-Driven Patient Subgroups: A Machine Learning Analysis Across Six Depression Treatment Studies
- Author
-
Benrimoh, David, Kleinerman, Akiva, Furukawa, Toshi A., Reynolds III, Charles F., Lenze, Eric, Karp, Jordan, Mulsant, Benoit, Armstrong, Caitrin, Mehltretter, Joseph, Fratila, Robert, Perlman, Kelly, Israel, Sonia, Tanguay-Sela, Myriam, Popescu, Christina, Golden, Grace, Qassim, Sabrina, Anacleto, Alexandra, Kapelner, Adam, Rosenfeld, Ariel, and Turecki, Gustavo
- Subjects
Computer Science - Machine Learning ,Computer Science - Artificial Intelligence - Abstract
Major depressive disorder (MDD) is a heterogeneous condition; multiple underlying neurobiological substrates could be associated with treatment response variability. Understanding the sources of this variability and predicting outcomes has been elusive. Machine learning has shown promise in predicting treatment response in MDD, but one limitation has been the lack of clinical interpretability of machine learning models. We analyzed data from six clinical trials of pharmacological treatment for depression (total n = 5438) using the Differential Prototypes Neural Network (DPNN), a neural network model that derives patient prototypes which can be used to derive treatment-relevant patient clusters while learning to generate probabilities for differential treatment response. A model classifying remission and outputting individual remission probabilities for five first-line monotherapies and three combination treatments was trained using clinical and demographic data. Model validity and clinical utility were measured based on area under the curve (AUC) and expected improvement in sample remission rate with model-guided treatment, respectively. Post-hoc analyses yielded clusters (subgroups) based on patient prototypes learned during training. Prototypes were evaluated for interpretability by assessing differences in feature distributions and treatment-specific outcomes. A 3-prototype model achieved an AUC of 0.66 and an expected absolute improvement in population remission rate compared to the sample remission rate. We identified three treatment-relevant patient clusters which were clinically interpretable. It is possible to produce novel treatment-relevant patient profiles using machine learning models; doing so may improve precision medicine for depression. Note: This model is not currently the subject of any active clinical trials and is not intended for clinical use.
- Published
- 2023
98. Applying Artificial Intelligence to Clinical Decision Support in Mental Health: What Have We Learned?
- Author
-
Golden, Grace, Popescu, Christina, Israel, Sonia, Perlman, Kelly, Armstrong, Caitrin, Fratila, Robert, Tanguay-Sela, Myriam, and Benrimoh, David
- Subjects
Computer Science - Human-Computer Interaction ,Computer Science - Artificial Intelligence - Abstract
Clinical decision support systems (CDSS) augmented with artificial intelligence (AI) models are emerging as potentially valuable tools in healthcare. Despite their promise, the development and implementation of these systems typically encounter several barriers, hindering the potential for widespread adoption. Here we present a case study of a recently developed AI-CDSS, Aifred Health, aimed at supporting the selection and management of treatment in major depressive disorder. We consider both the principles espoused during development and testing of this AI-CDSS, as well as the practical solutions developed to facilitate implementation. We also propose recommendations to consider throughout the building, validation, training, and implementation process of an AI-CDSS. These recommendations include: identifying the key problem, selecting the type of machine learning approach based on this problem, determining the type of data required, determining the format required for a CDSS to provide clinical utility, gathering physician and patient feedback, and validating the tool across multiple settings. Finally, we explore the potential benefits of widespread adoption of these systems, while balancing these against implementation challenges such as ensuring systems do not disrupt the clinical workflow, and designing systems in a manner that engenders trust on the part of end users.
- Published
- 2023
99. Universal subunit vaccine protects against multiple SARS-CoV-2 variants and SARS-CoV
- Author
-
Gang Wang, Abhishek K. Verma, Juan Shi, Xiaoqing Guan, David K. Meyerholz, Fan Bu, Wei Wen, Bin Liu, Fang Li, Stanley Perlman, and Lanying Du
- Subjects
Immunologic diseases. Allergy ,RC581-607 ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Abstract Although Omicron RBD of SARS-CoV-2 accumulates many mutations, the backbone region (truncated RBD) of spike protein is highly conserved. Here, we designed several subunit vaccines by keeping the conserved spike backbone region of SARS-CoV-2 Omicron BA.1 subvariant (S-6P-no-RBD), or inserting the RBD of Delta variant (S-6P-Delta-RBD), Omicron (BA.5) variant (S-6P-BA5-RBD), or ancestral SARS-CoV-2 (S-6P-WT-RBD) to the above backbone construct, and evaluated their ability to induce immune responses and cross-protective efficacy against various SARS-CoV-2 variants and SARS-CoV. Among the four subunit vaccines, S-6P-Delta-RBD protein elicited broad and potent neutralizing antibodies against all SARS-CoV-2 variants tested, including Alpha, Beta, Gamma, and Delta variants, the BA.1, BA.2, BA.2.75, BA.4.6, and BA.5 Omicron subvariants, and the ancestral strain of SARS-CoV-2. This vaccine prevented infection and replication of SARS-CoV-2 Omicron, and completely protected immunized mice against lethal challenge with the SARS-CoV-2 Delta variant and SARS-CoV. Sera from S-6P-Delta-RBD-immunized mice protected naive mice against challenge with the Delta variant, with significantly reduced viral titers and without pathological effects. Protection correlated positively with the serum neutralizing antibody titer. Overall, the designed vaccine has potential for development as a universal COVID-19 vaccine and/or a pan-sarbecovirus subunit vaccine that will prevent current and future outbreaks caused by SARS-CoV-2 variants and SARS-related CoVs.
- Published
- 2024
- Full Text
- View/download PDF
100. An integrated clinical approach to children at genetic risk for neurodevelopmental and psychiatric conditions: interdisciplinary collaboration and research infrastructure
- Author
-
Jane Summers, Danielle Baribeau, Polina Perlman, Ny Hoang, Sunny Cui, Aneta Krakowski, Patricia Ambrozewicz, Ariel Ho, Thanuja Selvanayagam, Kinga A. Sándor-Bajusz, Katrina Palad, Nishi Patel, Sarah McGaughey, Louise Gallagher, Stephen W. Scherer, Peter Szatmari, and Jacob Vorstman
- Subjects
Interdisciplinary clinic ,Psychiatry ,Psychology ,Genetics ,Neurodevelopmental disorder ,Mental health ,Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 - Abstract
Abstract Background A sizeable proportion of pathogenic genetic variants identified in young children tested for congenital differences are associated with neurodevelopmental psychiatric disorders (NPD). In this growing group, a genetic diagnosis often precedes the emergence of diagnosable developmental concerns. Here, we describe DAGSY (Developmental Assessment of Genetically Susceptible Youth), a novel interdisciplinary ‘genetic-diagnosis-first’ clinic integrating psychiatric, psychological and genetic expertise, and report our first observations and feedback from families and referring clinicians. Methods We retrieved data on referral sources and indications, genetic and NPD diagnoses and recommendations for children seen at DAGSY between 2018 and 2022. Through a survey, we obtained feedback from twenty families and eleven referring clinicians. Results 159 children (mean age 10.2 years, 57.2% males) completed an interdisciplinary (psychiatry, psychology, genetic counselling) DAGSY assessment during this period. Of these, 69.8% had a pathogenic microdeletion or microduplication, 21.5% a sequence-level variant, 4.4% a chromosomal disorder, and 4.4% a variant of unknown significance with emerging evidence of pathogenicity. One in four children did not have a prior NPD diagnosis, and referral to DAGSY was motivated by their genetic vulnerability alone. Following assessment, 76.7% received at least one new NPD diagnosis, most frequently intellectual disability (24.5%), anxiety (20.7%), autism spectrum (18.9%) and specific learning (16.4%) disorder. Both families and clinicians responding to our survey expressed satisfaction, but also highlighted some areas for potential improvement. Conclusions DAGSY addresses an unmet clinical need for children identified with genetic variants that confer increased vulnerability for NPD and provides a crucial platform for research in this area. DAGSY can serve as a model for interdisciplinary clinics integrating child psychiatry, psychology and genetics, addressing both clinical and research needs for this emerging population.
- Published
- 2024
- Full Text
- View/download PDF
Catalog
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.